Samsung Galaxy S22
Geekbench ML Score
1382
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 08 2023 04:03 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901W |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
5035
942.2 IPS |
|
|
Image Classification (I8)
|
100% |
10215
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
1276
21.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3699
61.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1871
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
34693
42.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
1070
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
93
6.96 IPS |
|
|
Object Detection (F16)
|
100% |
105
7.86 IPS |
|
|
Object Detection (I8)
|
55% |
107
7.99 IPS |
|
|
Face Detection (F32)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (F16)
|
98% |
8119
96.5 IPS |
|
|
Face Detection (I8)
|
16% |
41507
493.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2745
21.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19805
153.6 IPS |
|
|
Depth Estimation (I8)
|
68% |
51839
402.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1730
2.28 IPS |
|
|
Style Transfer (F16)
|
100% |
603
0.79 IPS |
|
|
Style Transfer (I8)
|
98% |
5006
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1290
46.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12545
448.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
24137
862.0 IPS |
|
|
Text Classification (F32)
|
100% |
3
4.73 IPS |
|
|
Text Classification (F16)
|
100% |
208
299.3 IPS |
|
|
Text Classification (I8)
|
94% |
495
710.9 IPS |
|
|
Machine Translation (F32)
|
0% |
43
0.79 IPS |
|
|
Machine Translation (F16)
|
100% |
325
5.98 IPS |
|
|
Machine Translation (I8)
|
64% |
390
7.19 IPS |
